| Exploring various knowledge in relation extraction GD Zhou, J Su, J Zhang, M Zhang Proceedings of the 43rd annual meeting of the association for computational …, 2005 | 1038 | 2005 |
| Layoutlmv2: Multi-modal pre-training for visually-rich document understanding Y Xu, Y Xu, T Lv, L Cui, F Wei, G Wang, Y Lu, D Florencio, C Zhang, ... arXiv preprint arXiv:2012.14740, 2020 | 560 | 2020 |
| R-drop: Regularized dropout for neural networks L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu Advances in Neural Information Processing Systems 34, 10890-10905, 2021 | 488 | 2021 |
| A composite kernel to extract relations between entities with both flat and structured features M Zhang, J Zhang, J Su, G Zhou Proceedings of the 21st International Conference on Computational …, 2006 | 376 | 2006 |
| A phrase-based statistical model for SMS text normalization AT Aw, M Zhang, J Xiao, J Su Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 33-40, 2006 | 320 | 2006 |
| Tree kernel-based relation extraction with context-sensitive structured parse tree information G Zhou, M Zhang, DH Ji, Q Zhu Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 307 | 2007 |
| Oral captopril versus placebo among 13 634 patients with suspected acute myocardial infarction: interim report from the Chinese Cardiac Study (CCS-1) Chinese Cardiac Study Collaborative Group The Lancet 345 (8951), 686-687, 1995 | 306 | 1995 |
| Improving the transformer translation model with document-level context J Zhang, H Luan, M Sun, F Zhai, J Xu, M Zhang, Y Liu arXiv preprint arXiv:1810.03581, 2018 | 304 | 2018 |
| A joint source-channel model for machine transliteration H Li, M Zhang, J Su Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 299 | 2004 |
| Clinical features of patients infected with the 2019 novel coronavirus (COVID-19) in Shanghai, China M Cao, D Zhang, Y Wang, Y Lu, X Zhu, Y Li, H Xue, Y Lin, M Zhang, ... MedRxiv, 2020.03. 04.20030395, 2020 | 288 | 2020 |
| Fast and Accurate Shift-Reduce Constituent Parsing M Zhu, Y Zhang, W Chen, M Zhang, J Zhu | 269 | 2013 |
| Towards making the most of chatgpt for machine translation K Peng, L Ding, Q Zhong, L Shen, X Liu, M Zhang, Y Ouyang, D Tao arXiv preprint arXiv:2303.13780, 2023 | 255 | 2023 |
| Variational neural machine translation B Zhang, D Xiong, J Su, H Duan, M Zhang arXiv preprint arXiv:1605.07869, 2016 | 242 | 2016 |
| A commentary of GPT-3 in MIT Technology Review 2021 M Zhang, J Li Fundamental Research 1 (6), 831-833, 2021 | 195 | 2021 |
| Modeling source syntax for neural machine translation J Li, D Xiong, Z Tu, M Zhu, M Zhang, G Zhou arXiv preprint arXiv:1705.01020, 2017 | 181 | 2017 |
| Distantly supervised NER with partial annotation learning and reinforcement learning Y Yang, W Chen, Z Li, Z He, M Zhang Proceedings of the 27th International Conference on Computational …, 2018 | 174 | 2018 |
| Exploring syntactic features for relation extraction using a convolution tree kernel M Zhang, J Zhang, J Su Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006 | 160 | 2006 |
| Jointly learning structured analysis discriminative dictionary and analysis multiclass classifier Z Zhang, W Jiang, J Qin, L Zhang, F Li, M Zhang, S Yan IEEE transactions on neural networks and learning systems 29 (8), 3798-3814, 2017 | 157 | 2017 |
| A tree sequence alignment-based tree-to-tree translation model M Zhang, H Jiang, A Aw, H Li, CL Tan, S Li Proceedings of ACL-08: HLT, 559-567, 2008 | 151 | 2008 |
| Lasuie: Unifying information extraction with latent adaptive structure-aware generative language model H Fei, S Wu, J Li, B Li, F Li, L Qin, M Zhang, M Zhang, TS Chua Advances in Neural Information Processing Systems 35, 15460-15475, 2022 | 133 | 2022 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, Singaporeبريد إلكتروني تم التحقق منه على u.nus.edu
